[Insight-users] Problems with itkImageClassifier and itkGaussianClassifier

[Sayan Pathak]

Hi Samuel,
Jisung is right. The old GaussianSupervisedClassifier and other =
classifer classes dealing with Images in the old release has been =
replaced with more flexible and efficient classifier framework.
The new framework embodies all the features of the previous code-base =
plus additional flexibility. Most of the old code has been removed. =
Please migrate to the more flexible framework.

Thanks,
Sayan

> -----Original Message-----
> From: Samuel Rodr=EDguez Bescos [mailto:srodrigu@gbt.tfo.upm.es]
> Sent: Wednesday, August 07, 2002 1:41 AM
> To: Jisung Kim; insight-users@public.kitware.com
> Subject: Re: [Insight-users] Problems with itkImageClassifier and
> itkGaussianClassifier
>=20
>=20
> Thanks a lot  for the information, Jisung ,
>=20
> Samuel
> ----- Original Message -----
> From: "Jisung Kim" <bahrahm@yahoo.com>
> To: "Samuel_Rodruez_Bescos" <srodrigu@gbt.tfo.upm.es>;
> <insight-users@public.kitware.com>
> Sent: Tuesday, August 06, 2002 10:49 PM
> Subject: Re: [Insight-users] Problems with itkImageClassifier and
> itkGaussianClassifier
>=20
>=20
> > Hi.
> >
> > I might be wrong. However, the following is my
> > understanding about the situation:
> >
> > It seems that the old GaussianSupervisedClassifier has
> > been replaced by the
> > Algorithms/itkImageGaussianModelEstimator(paramter
> > estimation for Gaussian classes),
> > Algorithms/itkImageClassifierBase(integration point),
> > Common/itkMinimumDecisionRule (class label selection
> > rule), and
> > Code/Numerics/Statistics/itkMahalanobisDistanceMembershipFunction.
> > (distance function)
> >
> > As you already know there is no more single
> > GaussianSupervisedClassifer. If you want to use the
> > new statistical classification framework, you have to
> > create proper estimator, selection rule, and
> > membership-function first, and then plug them into an
> > itkImageClassifierBase instance. After that, you can
> > use the instance of itkImageClassifierBase just like
> > using the old stand alone classifiers. There is an
> > test program in   Testing/Code/Algorithm,
> > "itkSuperVisedImageClassifierTest" that shows how to
> > use the framework.
> >
> > If you want to use old stand alone classifiers such as
> > GaussianSupervisedClassifier, I believe you should
> > also use old version of Gibbs prior segmentation
> > codes.
> >
> > I'm not 100% sure. So if I am wrong, please correct
> > me.
> >
> > Thank you,
> >
> > Jisung Kim
> > --- Samuel_Rodr&#65533;guez_Bescos
> > <srodrigu@gbt.tfo.upm.es> wrote:
> > > Hello every body,
> > > I'm developing a single example based in Gibbs prior
> > > segmentation for grey scale images.
> > > I follow the steps of Dimtris Metaxas and Ting Chen
> > > but for grey scale image and  I have the next error:
> > >
> > > (149) : error C2664: 'SetClassifier' : cannot
> > > convert parameter 1 from 'class
> > > itk::SmartPointer<class
> > > itk::GaussianSupervisedClassifier<c
> > > lass itk::Image<class itk::Vector<unsigned
> > > short,1>,2>,class itk::Image<unsigned short,2> > >'
> > > to 'class itk::SmartPointer<class
> > > itk::ImageClassifierBase<class itk::Image<class
> > > itk::Vector<unsigned short,1>,2>,class
> > > itk::Image<unsigned short,2> > >'
> > >         No constructor could take the source type,
> > > or constructor overload resolution was ambiguous
> > > Error executing cl.exe.
> > >
> > > I'm using one of the last version of Insight in
> > > order to use the itkScalarToArrayCastImageFilter. So
> > > I imported the classes related with the
> > > itkGaussianSupervisedClassifierm from previous
> > > version. Has anybody any idea about what is
> > > happening?
> > >
> > > If I can't find the problem. Could anybody tell me
> > > what class I can use to first estimation to set in
> > > the GibbsPriorFilter instead of gaussian Supervised
> > > Classifier?.
> > >
> > > Thanks for reading to the end.
> > >
> > > Samuel
> > >
> > >
> > >
> >
> >
> > =3D=3D=3D=3D=3D
> > Jisung Kim
> > bahrahm@yahoo.com
> > 106 Mason Farm Rd.
> > 129 Radiology Research Lab., CB# 7515
> > Univ. of North Carolina at Chapel Hill
> > Chapel Hill, NC 27599-7515
> >
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